Atmospheric dispersion correction for the FORS Focal Reducers at the ESO VLT

1997 ◽  
Author(s):  
Gerardo Avila ◽  
Gero Rupprecht ◽  
Jacques M. Beckers
Keyword(s):  
Atmospheric Dispersion ◽  
Dispersion Correction

scholarly journals A New Type of Atmospheric Dispersion Corrector Suitable for Wide-Field High-Resolution Imaging and Spectroscopy on Large Telescopes

2021 ◽  
Vol 11 (14) ◽  
pp. 6261
Author(s):  
Andrew Rakich
Keyword(s):  
High Resolution ◽  
Atmospheric Dispersion ◽  
Wide Field ◽  
High Resolution Imaging ◽  
Dispersion Correction ◽  
Atmospheric Effect ◽  
New Type ◽  
Resolution Imaging ◽  
Imaging And Spectroscopy ◽  
Large Telescopes

Atmospheric dispersion produces spectral elongation in images formed by land-based astronomical telescopes, and this elongation increases as the telescope points away from the zenith. Atmospheric Dispersion Correctors (ADCs) produce compensating dispersion that can be adjusted to best cancel out the atmospheric effect. These correctors are generally of two basic types: Rotating Atmospheric Dispersion Correctors (R-ADCs), and Linear Atmospheric Dispersion Correctors (L-ADCs). Lately, a third type, the “Compensating Lateral ADC” (CL-ADC) has been proposed. None of these design approaches allow for large corrector systems (with elements greater than 1 m in diameter), in which the secondary spectrum is corrected to small residuals, of the order of tens’ of milliarcseconds. This paper describes a new type of large corrector (>1 m diameter elements), which can achieve the correction of the secondary spectrum to the order of 10 milliarcseconds. This correction is achieved by combining the R-ADC and CL-ADC approaches to dispersion correction. Only glass types readily available in metre diameters are required.

VST telescope: the control software design for the atmospheric dispersion correction

2005 ◽  
Author(s):  
M. Brescia ◽  
P. Schipani ◽  
G. Marra ◽  
G. Spirito ◽  
F. Cortecchia ◽  
...  
Keyword(s):  
Software Design ◽  
Atmospheric Dispersion ◽  
Dispersion Correction ◽  
Control Software

scholarly journals Prime focus wide-field corrector designs with lossless atmospheric dispersion correction

2014 ◽  
Author(s):  
Will Saunders ◽  
Peter Gillingham ◽  
Greg Smith ◽  
Steve Kent ◽  
Peter Doel
Keyword(s):  
Atmospheric Dispersion ◽  
Wide Field ◽  
Dispersion Correction

Atmospheric dispersion correction for the Subaru AO system

2010 ◽  
Author(s):  
Sebastian Egner ◽  
Yuji Ikeda ◽  
Makoto Watanabe ◽  
Y. Hayano ◽  
T. Golota ◽  
...  
Keyword(s):  
Atmospheric Dispersion ◽  
Dispersion Correction

Minimally Empirical Double Hybrid Functionals Trained Against the GMTKN55 Database: revDSD-PBEP86-D4, revDOD-PBE-D4, and DOD-SCAN-D4

2019 ◽  
Author(s):  
Golokesh Santra ◽  
Nitai Sylvetsky ◽  
Gershom Martin
Keyword(s):  
Substantial Improvement ◽  
Viable Alternative ◽  
Mean Absolute Deviation ◽  
Dispersion Correction ◽  
Training Set ◽  
Weighted Mean ◽  
Absolute Deviation ◽  
Hybrid Functionals ◽  
Scaling Algorithms

We present a family of minimally empirical double-hybrid DFT functionals parametrized against the very large and diverse GMTKN55 benchmark. The very recently proposed wB97M(2) empirical double hybrid (with 16 empirical parameters) has the lowest WTMAD2 (weighted mean absolute deviation over GMTKN55) ever reported at 2.19 kcal/mol. However, our xrevDSD-PBEP86-D4 functional reaches a statistically equivalent WTMAD2=2.22 kcal/mol, using just a handful of empirical parameters, and the xrevDOD-PBEP86-D4 functional reaches 2.25 kcal/mol with just opposite-spin MP2 correlation, making it amenable to reduced-scaling algorithms. In general, the D4 empirical dispersion correction is clearly superior to D3BJ. If one eschews dispersion corrections of any kind, noDispSD-SCAN offers a viable alternative. Parametrization over the entire GMTKN55 dataset yields substantial improvement over the small training set previously employed in the DSD papers.

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